Abstract | ||
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•We proposed a new lossless online classifier based on Bayesian inference.•Our classifier uses the incoming data in a 1-by-1 manner and discards the data after use.•Our classifier is guaranteed to reach the same prediction model regardless of the incremental training order.•Our classifier is highly competitive to many state-of-the-art online learning algorithms. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.ins.2019.03.031 | Information Sciences |
Keywords | Field | DocType |
Online learning,Lossless methods,Online classifiers,Bayesian method,Variational inference,Multivariate Gaussian | Offline learning,Online learning,Naive Bayes classifier,Artificial intelligence,Classifier (linguistics),Big data,Machine learning,Mathematics,Lossless compression,Bayesian probability | Journal |
Volume | ISSN | Citations |
489 | 0020-0255 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thi Thu Thuy Nguyen | 1 | 20 | 2.45 |
Tien Thanh Nguyen | 2 | 79 | 12.55 |
Rabi Sharma | 3 | 0 | 0.34 |
A. W.-C. Liew | 4 | 244 | 18.37 |